Artificial intelligence (AI) and machine learning (ML) are starting to transform how solutions are built and deployed in transportation. In fact, transportation is arguably yielding some of the most ambitious, far reaching enterprise applications of AI and ML. Fully automated transportation technologies such as autonomous vehicles and self-driving sea vessels capture the public’s imagination; but these technologies require further development and will likely involve safety regulation before widespread adoption. More quietly, however, AI and ML is being used extensively in the transportation industry, especially to streamline supply chain operations (for example, in AI-enhanced real-time supply chain planning). There are also a range of applications of AI and ML being used in fleet management such as for route optimization, vehicle supply management, and promoting safety.
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